ArticleEpidemiology (Cambridge, Mass.)2017
Biomedical Informatics Approaches to Identifying Drug-Drug Interactions: Application to Insulin Secretagogues.
Article in Epidemiology (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- Signals of Venous Thromboembolism Risk from Drug-Drug Interactions Involving Benzodiazepines and Other Sedative Hypnotics: Self-Controlled Case Series Analyses.Clinical drug investigation · 2026Article
- Medications Associated with Increased Risk of Hypoglycemia in Older Adults on Sulfonylureas: A High-Throughput Case-Crossover-Based Screening Study.Drug safety · 2026Article
- Data mining results for reduction of adverse drug-drug interaction events in older adults are clinically applicable.Therapeutic advances in drug safety · 2025Article
- A Precision Mixture Risk Model to Identify Adverse Drug Events in Subpopulations Using a Case-Crossover Design.Statistics in medicine · 2024Article
- Thinking Three-Dimensionally: A Self- and Externally-Controlled Approach to Screening for Drug-Drug-Drug Interactions Among High-Risk Populations.Clinical pharmacology and therapeutics · 2024Article
- The State of Use and Utility of Negative Controls in Pharmacoepidemiologic Studies.American journal of epidemiology · 2024Review
- Application of an Innovative Data Mining Approach Towards Safe Polypharmacy Practice in Older Adults.Drug safety · 2024Article
- Skeletal muscle relaxant drug-drug-drug interactions and unintentional traumatic injury: Screening to detect three-way drug interaction signals.British journal of clinical pharmacology · 2022Article
- Population-based screening to detect benzodiazepine drug-drug-drug interaction signals associated with unintentional traumatic injury.Scientific reports · 2022Article
- Opioid Drug-Drug-Drug Interactions and Unintentional Traumatic Injury: Screening to Detect Three-Way Drug Interaction Signals.Frontiers in pharmacology · 2022Article
- Population-Based Signals of Antidepressant Drug Interactions Associated With Unintentional Traumatic Injury.Clinical pharmacology and therapeutics · 2021Article
- Drug-Drug Interaction Surveillance Study: Comparing Self-Controlled Designs in Five Empirical Examples in Real-World Data.Clinical pharmacology and therapeutics · 2021Article
- The Self-Controlled Case Series Design as a Viable Alternative to Studying Clinically Relevant Drug Interactions.Clinical pharmacology and therapeutics · 2020Article
- Comparison of Self-controlled Designs for Evaluating Outcomes of Drug-Drug Interactions: Simulation Study.Epidemiology (Cambridge, Mass.) · 2019Article
- Clopidogrel Drug Interactions and Serious Bleeding: Generating Real-World Evidence via Automated High-Throughput Pharmacoepidemiologic Screening.Clinical pharmacology and therapeutics · 2019Article
- Serious Hypoglycemia and Use of Warfarin in Combination With Sulfonylureas or Metformin.Clinical pharmacology and therapeutics · 2019Observational
- Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Comparative risk of serious hypoglycemia with oral antidiabetic monotherapy: A retrospective cohort study.Pharmacoepidemiology and drug safety · 2018Article
- Pharmacoepidemiologic Methods for Studying the Health Effects of Drug-Drug Interactions.Clinical pharmacology and therapeutics · 2016Review
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7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDrug-drug interactions with insulin secretagogues are associated with increased risk of serious hypoglycemia in patients with type 2 diabetes. We aimed to systematically screen for drugs that interact with the five most commonly used secretagogues-glipizide, glyburide, glimepiride, repaglinide, and nateglinide-to cause serious hypoglycemia.
methodsWe screened 400 drugs frequently coprescribed with the secretagogues as candidate interacting precipitants. We first predicted the drug-drug interaction potential based on the pharmacokinetics of each secretagogue-precipitant pair. We then performed pharmacoepidemiologic screening for each secretagogue of interest, and for metformin as a negative control, using an administrative claims database and the self-controlled case series design. The overall rate ratios (RRs) and those for four predefined risk periods were estimated using Poisson regression. The RRs were adjusted for multiple estimation using semi-Bayes method, and then adjusted for metformin results to distinguish native effects of the precipitant from a drug-drug interaction.
resultsWe predicted 34 pharmacokinetic drug-drug interactions with the secretagogues, nine moderate and 25 weak. There were 140 and 61 secretagogue-precipitant pairs associated with increased rates of serious hypoglycemia before and after the metformin adjustment, respectively. The results from pharmacokinetic prediction correlated poorly with those from pharmacoepidemiologic screening.
conclusionsThe self-controlled case series design has the potential to be widely applicable to screening for drug-drug interactions that lead to adverse outcomes identifiable in healthcare databases. Coupling pharmacokinetic prediction with pharmacoepidemiologic screening did not notably improve the ability to identify drug-drug interactions in this case.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.